@ciaocorleone wrote:
Trying to solve a use case with text analytics. I have data exported from a ticketing system which has a category, type of ticket, title & problem description. I have to visualize the problem types, for example ( new employee registration, password reset). If I implement algorithms using data science, my assumption is to extra the ticket descriptions with a set of keywords and finally come to a conclusion that there are 12% of password request came through. This I know a basic level of programmatic approach.
What are the best set of algorithms can I use which can precisely help me predict my use case by using machine learning? Thanks in advance.
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